Skip to content

Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES)

License

Notifications You must be signed in to change notification settings

datejada/generation-expansion-planning-models

Folders and files

NameName
Last commit message
Last commit date

Latest commit

5c3e6f6 · Apr 16, 2023

History

11 Commits
Apr 16, 2023
Apr 20, 2021
Nov 28, 2021
Apr 20, 2021
Apr 16, 2023
Mar 24, 2022
Apr 20, 2021
Apr 20, 2021
Apr 20, 2021
Apr 20, 2021
Apr 20, 2021
Apr 20, 2021

Repository files navigation

Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES)

Files description

The following files solve the GEP problem for three scenarios of wind and solar production using different approaches:

The models are developed in GAMS and solved with CPLEX, but you could use any other solver (e.g., GUROBI, Cbc).

GEP Formulation

Indices

Name Description
p time periods
g generation technologies
r ( g ) subset of renewable techonologies
s c scenarios

Parameters

Name Domains Description
p V O L L Value of Lost Load [$/MWh]
p W e i g h t Representative period weight [hours]
p I n v C o s t g Investment cost [$/MW]
p V a r C o s t g Variable production cost [$/MWh]
p U n i t C a p g Capacity per each invested unit [MW/unit]
p R e n P r o f r , p , s c Renewable profile (e.g., load factor) [p.u.]
p D e m a n d p Demand [MW]
p S c P r o b s c Scenario probability [p.u.]

Variables

Name Domains Description
v T o t C o s t Total system cost [$]
v I n v C o s t Total investment cost [$]
v O p e C o s t Total operating cost [$]
v G e n I n v g Generation investment [1..N]
v G e n P r o d g , p , s c Generation production [MW]
v L o s s L o a d p , s c Loss of load [MW]

Equations

Name Domains Description
eObjFun Total system cost [$]
eInvCost Total investment cost [$]
eOpeCost Total operating cost [$]
eBalance p , s c Power system balance [MWh]
eMaxProd g , p , s c Maximum generation production [MW]
eRenProd r , p , s c Maximum renewable production [MW]

eObjFun

min v T o t C o s t = v I n v C o s t + v O p e C o s t

eInvCost

v I n v C o s t = g ( p I n v C o s t g p U n i t C a p g v G e n I n v g )

eOpeCost

v O p e C o s t = p W e i g h t ( s c p S c P r o b s c ( g , p p V a r C o s t g v G e n P r o d g , p , s c + p , s c p V O L L v L o s s L o a d p , s c ) )

eBalance

g v G e n P r o d g , p , s c + v L o s s L o a d p , s c = p D e m a n d p p , s c

eMaxProd

v G e n P r o d g , p , s c p U n i t C a p g v G e n I n v g g , p , s c

eRenProd

v G e n P r o d r , p , s c p R e n P r o f r , p , s c p U n i t C a p r v G e n I n v r r , p , s c

Bounds

v G e n P r o d g , p , s c 0   g , p , s c

v L o s s L o a d p , s c 0   p , s c

v G e n I n v g Z +   g

References

The main references to model the optimization problems are:

[1] Optimization Techniques by Andrés Ramos Galán

[2] A. J. Conejo, L. Baringo, S. J. Kazempour and A. S. Siddiqui, Investment in Electricity Generation and Transmission, Cham, Zug, Switzerland:Springer, 2016.

[3] Sun X.A., Conejo A.J. (2021) Static Robust Optimization. In: Robust Optimization in Electric Energy Systems. International Series in Operations Research & Management Science, vol 313. Springer, Cham.

About

Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages